Description

Book Synopsis

Part I Concepts and Technology.- Chapter 1 Introduction to Natural Language Processing.- Chapter 2 N-gram Language Model.- Chapter 3 Part-of-Speech Tagging.- Chapter 4 Syntax and Parsing.- Chapter 5 Meaning Representation.- Chapter 6 Semantic Analysis.- Chapter 7 Pragmatic Analysis and Discourse.- Chapter 8 Transfer Learning and Transformer Technology.- Chapter 9 Major Natural Language Processing Applications.- Part II Natural Language Processing Workshops with Python Implementation in 14 Hours.- Chapter 10 Workshop#1 Basics of Natural Language Toolkit (Hour 1-2).- Chapter 11 Workshop#2 N-grams Modeling with Natural Language Toolkit (Hour 3-4).- Chapter 12 Workshop#3 Part-of-Speech Tagging using Natural Language Toolkit (Hour 5-6).- Chapter 13 Workshop#4 Semantic Analysis and Word Vectors using spaCy (Hour 7-8).- Chapter 14 Workshop#5 Sentiment Analysis and Text Classification (Hour 9-10).- Chapter 15 Workshop#6 Transformers with spaCy and TensorFlow (Hour11-12).- Chapter 16. Workshop#7 Building Chatbot with TensorFlow and Transformer Technology (Hour 13-14).

Natural Language Processing

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    A Hardback by Raymond Lee

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      Publisher: Springer
      Publication Date: Publication Date: 22/06/2025
      ISBN13: 9789819632077, 978-9819632077
      ISBN10:
      Also in:
      Natural language and machine translation

      Description

      Book Synopsis

      Part I Concepts and Technology.- Chapter 1 Introduction to Natural Language Processing.- Chapter 2 N-gram Language Model.- Chapter 3 Part-of-Speech Tagging.- Chapter 4 Syntax and Parsing.- Chapter 5 Meaning Representation.- Chapter 6 Semantic Analysis.- Chapter 7 Pragmatic Analysis and Discourse.- Chapter 8 Transfer Learning and Transformer Technology.- Chapter 9 Major Natural Language Processing Applications.- Part II Natural Language Processing Workshops with Python Implementation in 14 Hours.- Chapter 10 Workshop#1 Basics of Natural Language Toolkit (Hour 1-2).- Chapter 11 Workshop#2 N-grams Modeling with Natural Language Toolkit (Hour 3-4).- Chapter 12 Workshop#3 Part-of-Speech Tagging using Natural Language Toolkit (Hour 5-6).- Chapter 13 Workshop#4 Semantic Analysis and Word Vectors using spaCy (Hour 7-8).- Chapter 14 Workshop#5 Sentiment Analysis and Text Classification (Hour 9-10).- Chapter 15 Workshop#6 Transformers with spaCy and TensorFlow (Hour11-12).- Chapter 16. Workshop#7 Building Chatbot with TensorFlow and Transformer Technology (Hour 13-14).

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